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SARA
2007
Springer
15 years 8 months ago
Active Learning of Dynamic Bayesian Networks in Markov Decision Processes
Several recent techniques for solving Markov decision processes use dynamic Bayesian networks to compactly represent tasks. The dynamic Bayesian network representation may not be g...
Anders Jonsson, Andrew G. Barto
116
Voted
ISPASS
2005
IEEE
15 years 8 months ago
Analysis of Network Processing Workloads
Abstract— Network processing is becoming an increasingly important paradigm as the Internet moves towards an architecture with more complex functionality inside the network. Mode...
Ramaswamy Ramaswamy, Ning Weng, Tilman Wolf
114
Voted
ICIP
2009
IEEE
16 years 3 months ago
Efficient Poisson Denoising For Photography
In general, image sensor noise is dominated by Poisson statistics, even at high illumination level, yet most standard denoising procedures often assume a simpler additive Gaussian...
101
Voted
ICIAP
2001
Springer
16 years 2 months ago
A Probabilistic Model for the Human Skin Color
We present a multivariate statistical model to represent the human skin color. In our approach, there are no limitations regarding if the person is white or black, once the model ...
Tibério S. Caetano, Dante Augusto Couto Bar...
109
Voted
ICASSP
2009
IEEE
15 years 9 months ago
Spatio-temporal adaptive detector in non-homogeneous and low-rank clutter
Reducing the number of secondary data used to estimate the Clutter Covariance Matrix (CCM) for Space Time Adaptive Processing (STAP) techniques is still an active research topic. ...
Guillaume Ginolhac, Philippe Forster, Jean Philipp...